Articles | Volume 12, issue 1
Earth Syst. Sci. Data, 12, 719–740, 2020
https://doi.org/10.5194/essd-12-719-2020
Earth Syst. Sci. Data, 12, 719–740, 2020
https://doi.org/10.5194/essd-12-719-2020
Data description paper
26 Mar 2020
Data description paper | 26 Mar 2020

Laboratory, field, mast-borne and airborne spectral reflectance measurements of boreal landscape during spring

Henna-Reetta Hannula et al.

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Cited articles

ACIA: Arctic Climate Impact Assessment, ACIA Overview report, Cambridge University Press, 1020 pp., 2005. 
AMAP: Snow, Water, Ice and Permafrost in the Arctic (SWIPA), Arctic Monitoring and Assessment Programme (AMAP), Oslo, Norway. xiv + 269 pp., available at: https://www.amap.no/documents/doc/snow-water-ice-and-permafrost-in-the-arctic-swipa-2017/1610 (last access: December 2019), 2017. 
Anderson, K., Dungan, J. L., and MacArthur, A.: On the reproducibility of field-measured reflectance factors in the context of vegetation studies, Remote Sens. Environ., 115, 1893–1905, 2011. 
Aoki, T., Aoki, T., Fukabori, M., Hachikubo, A., Tachibana, Y., and Nishio, F.: Effects of snow physical parameters on spectral albedo and bidirectional reflectance of snow surface, J. Geophys. Res., 105, 10219–10236, 2000. 
Bänninger, D., Bourgeois, C. S., Matzl, M., and Schneebeli, M.: Reflectance Modeling for Real Snow Structures Using a Beam Tracing Model, Sensors, 8, 3482–3496, 2008. 
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Short summary
We publish and describe a surface spectral reflectance data record of seasonal snow (dry, wet, shadowed), forest ground (lichen, moss) and forest canopy (spruce and pine, branches) constituting the main elements of the boreal landscape and collected at four scales. The data record describes the characteristics and variability of the satellite scene reflectance contributors in boreal landscape, thus enabling the development of improved optical satellite snow mapping methods for forested areas.